Kubernetes Mastery: Build, Deploy & Troubleshoot Apps

Build practical Kubernetes expertise by setting up, securing, monitoring, and troubleshooting clusters for containerized applications. You’ll install Kubernetes on virtual machines, initialize a cluster, connect and manage worker nodes, validate cluster readiness, and schedule pods using node selectors, affinity, and resource requests. You’ll then deploy applications, manage rollouts and rollbacks, configure persistent storage, establish certificate-based cluster connectivity, and apply RBAC roles and role bindings. You’ll also integrate Prometheus and Grafana to support monitoring and observability. As you progress, you’ll examine Kubernetes architecture, expose applications through Services, and diagnose cluster issues using essential commands and techniques. Designed for developers, DevOps engineers, and IT professionals, this course emphasizes hands-on Kubernetes case studies and secure, reliable deployment practices. Its distinctive two-part focus takes you from building a functional cluster for hosted applications to creating, verifying, uploading, and deploying a custom Docker image. Enroll to develop an end-to-end Kubernetes workflow and the practical ability to configure clusters, deploy applications, control access, monitor operations, and resolve common issues.

Build practical Kubernetes skills to create, configure, manage, and troubleshoot clusters in cloud and local environments. You’ll begin with container orchestration fundamentals and examine Kubernetes architecture, including master and worker nodes, desired state, and declarative configuration. You’ll then create and delete Kubernetes clusters on AWS, manage EC2 instances, and connect cluster resources. Step-by-step demonstrations guide you through preparing Ubuntu instances, initializing a master node with Kubeadm, and joining worker nodes. You’ll also troubleshoot common Kubernetes issues and use Minikube to install a local environment and deploy test applications. Designed for DevOps engineers, cloud administrators, and software developers, this course connects foundational concepts with hands-on cluster management. Its focused progression—from core architecture and AWS cluster creation to Kubeadm configuration and Minikube troubleshooting—helps you practice Kubernetes in both cloud and local settings. By the end, you’ll be able to explain key Kubernetes concepts, configure clusters, manage worker nodes, resolve cluster issues, and test containerized application deployments with greater confidence.